获取深A股实时行情数据
AI agents call stock_sz_a_spot_em to retrieve information from AkShare MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves real-time market data (quotes) for Shenzhen A-share stocks. It is a read-only data fetch operation with no side effects, modifications, or financial transactions involved. Consistent with sibling tools like stock_sh_a_spot_em and stock_us_spot which are clearly read operations.
From the tool's definition 获取深A股实时行情数据 — '获取' means 'retrieve/fetch'; this tool reads real-time market quote data for Shenzhen A-shares
Attacks that exploit this kind of access
获取深A股实时行情数据. It is categorised as a Read tool in the AkShare MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AkShare MCP Server MCP server in PolicyLayer and add a rule for stock_sz_a_spot_em: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AkShare MCP Server. Nothing to install.
stock_sz_a_spot_em is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the stock_sz_a_spot_em rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for stock_sz_a_spot_em. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
stock_sz_a_spot_em is provided by the AkShare MCP Server MCP server (qiupo/marketmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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